Upcoming Webinars
DATE: July 2, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is brought to you by: About the Webinar Join us for an inspiring webinar in the Women in Data Management and Governance series, where we will feature…
DATE: July 8, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Join us for an insightful webinar where we delve into the world of data modeling. This session will cover the three primary types of data…
DATE: July 10, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar This session emphasizes the critical role of embedded databases in the evolving landscape of the Internet of Things. As IoT devices proliferate, the need for efficient,…
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Latest Blogs by Industry Experts

Read more about author Subasini Periyakaruppan. In today’s data-driven business environment, the ability to leverage external information sources has become a critical differentiator between market leaders and laggards. Organizations that successfully harness external data don’t just gather more information –?they transform how they understand their customers, anticipate market shifts, and identify growth opportunities. However, the path from recognizing the need for external data to successfully implementing it is fraught with…

Read more about author Derek Ashmore. AIOps, the practice of enhancing IT and DevOps with help from artificial intelligence and machine learning, is not an especially new idea. It has been nearly a decade since Gartner?coined the term?in 2016. Yet, the growing sophistication of AI technology is making AIOps much more powerful. Gone are the days when AIOps was mostly a way to speed up monitoring. AIOps in conjunction with…

Read more about author Gaurav Belani. The global healthcare AI market is projected to grow from $32.34 billion in 2024 to $431 billion by 2032. It is evident that artificial intelligence (AI) is transforming the healthcare sector, one workflow at a time. Even so, hospitals and clinics struggle to successfully integrate the technology into their workflows, as real-world deployment is fraught with complexities and bottlenecks. This blog post describes some…

Read more about author Udaya Veeramreddygari. In our fast-paced, interconnected digital world, data is truly the heartbeat of how organizations make decisions. However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality. Relying on traditional manual methods for data governance just doesn’t cut it anymore; in fact, it can even hinder progress in today's dynamic…
Recent Articles

Shutterstock From social media to online shopping, data is generated and collected at an unprecedented rate. In the current data-powered society, it is crucial to be able to understand and…

Shutterstock The phrase?“data warehouse?vs.?data?lakehouse”?offers an exciting topic for ongoing debate in the global data management world. While businesses have relied on traditional data warehouses for storing structured and semi-structured data…

After years of hype and promise, artificial intelligence (AI) has finally arrived. Organizations of all types and sizes are racing to integrate AI into their business processes to make their…

aniqpixel / Shutterstock Artificial intelligence (AI) is transforming businesses and industries worldwide with new data products and services. A recent Stanford University?AI Index Report?found that about?78%?of companies were using AI…
What is...?

A large language model (LLM) is an advanced artificial intelligence system that understands, processes,…

A database management system (DBMS) describes a collection of multiple software services that work…

A data catalog inventories and makes critical datasets available through metadata management. This platform informs…

A Data Strategy is a reliable touchstone created by an organization for businesspeople to…

Data Management (DM) comprises a comprehensive collection of consistent and responsible practices, concepts, and…

Data Modeling describes the plans and activities around diagramming data requirements for business operations across…